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Senior Azure AI Cloud Engineer

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SeniorHybryda·PuneFull-time

#451221·Dodano 19 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

DocumentationArtificial Intelligence (AI)CI/CDAdvanced RISC Machines (ARM)Disaster RecoveryCloudMachine Learning (ML)Microsoft Azure Jenkins GitHub

Podsumowanie oferty

As a Senior Azure Cloud Engineer, you will design, implement, and optimize scalable cloud infrastructure on Azure with emphasis on AI workloads. You will develop automated deployment pipelines and collaborate with data science teams to support AI projects. The role focuses on infrastructure-as-code expertise and cloud security practices.

Wymagania

Bachelor's degree in IT, Computer Science, Business Administration, or related field; Master's degree or certifications preferred.
Minimum of 8 years of experience in cloud engineering or architecture.
Proven experience with Azure services, including virtual machines, storage solutions, and databases.
Hands-on experience with Infrastructure-as-Code tools such as Terraform.
Strong scripting skills in Python, Bash, or PowerShell.
Familiarity with CI/CD tools and their integration with Azure.
Knowledge of networking fundamentals related to Azure environments.
Proficiency in monitoring and logging tools, both native and third-party.
Familiarity with AI coding assistants and frameworks is a plus.
Understanding of cybersecurity principles and best practices in cloud environments.

Nice to have:

Experience with cybersecurity practices in cloud settings.
Certifications like GCP/Azure Certified DevOps Engineer or Solutions Architect.

Obowiązki

Design and implement secure, scalable cloud infrastructure using Azure services focusing on AI workloads.
Develop automated deployment pipelines using Infrastructure-as-Code tools like Terraform.
Implement security practices such as Identity and Access Management and network security.
Design and manage Azure AI and Data platform components to support AI projects.
Collaborate with data science and engineering teams for effective model development environments.
Utilize AI tools to enhance infrastructure operations and troubleshooting.
Create and maintain documentation of infrastructure configurations.
Collaborate with architects and managers for expedited MVP developments.
Stay updated with new Azure services and provide recommendations for improvements.

Inne informacje

This role is expected to be remote, focusing on projects involving advanced AI and data workloads.

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